Senior Engineer, Machine Learning

Reverb is the largest online marketplace dedicated to buying and selling new, used, and vintage musical instruments. Since launching in 2013, Reverb has grown into a vibrant community of buyers and sellers all over the world. By focusing on inspiring content, price transparency, musician-focused eCommerce tools, a music-savvy customer service team, and more, Reverb has created an online destination where the global music community can connect over the perfect piece of music gear.

We believe that music makes the world a better place, which is why our mission is to make the world more musical. Sales on Reverb help support Reverb Gives, which provides youth music education programs across the world with instruments they need to make music.

About Engineering at Reverb

Reverb’s mission is to make the world more musical, and our vision is to unite music makers with the gear that inspires them in transformative ways that only we can deliver.

Our teams are highly collaborative and empowered to make a better experience for our customers. We rely on our ability to work as a team and incorporate different perspectives in order to ship meaningful and impactful software to our users.

About the Role

As a founding member, you will spearhead the integration of machine-learning capabilities throughout our business. Your primary responsibility will be to develop groundbreaking machine learning applications, steering them from conceptualization to production within Reverb Search and Recommendations.

You will build zero-to-one machine learning capabilities, including learning-to-rank models for search result optimization, query and content understanding, personalization and machine learning based retrieval. In addition, you will work on building the foundational components for the first-generation recommendation products at Reverb, architecting and building the recommendation system, implementing cutting-edge algorithms to source and rank candidates according to various product needs. Beyond that, you will also deliver the ML applications in an efficient and scalable manner.

Product ownership - We are not just research focused, we deliver real products. At Reverb, you’ll be encouraged to follow the performance of features you release, talk to product and design, fix bugs, and understand your impact on the business.

Self-motivation - Taking the initiative to get things done by finding ways around potential roadblocks and proactively working with other team members to find right-sized solutions.

Learning and Teaching - You are someone who likes to participate in code reviews and mentor other engineers directly. You also enjoy new challenges and learning new things to help you do your work more effectively.

This is a full-time position reporting to the Sr. Engineering Manager of our Search and Recommendation team. For candidates located in NYC, San Jose, San Francisco, or Seattle, please visit this link for compensation information. For candidates in all other eligible locations, the base salary range will be $127,000 - $165,000 USD per year.

• 4-7 years of professional experience with applied machine learning and a good product sense with a focus on user experience.
• Domain knowledge or working experience in any of these areas: Recommendation systems, Search, Advertisements, or E-commerce.
• Deep knowledge of your chosen languages and frameworks, but curiosity and ability to ramp up on new technologies quickly when called for.
• Experience creating and using machine learning algorithms and data structures.
• Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.
• Deep familiarity with one or more of the following areas at scale: Lucene-based search systems (ElasticSearch or Solr), search ranking and retrieval, data science, or information taxonomy
• Bachelor or advanced degree in computer science or a related field or equivalent experience.

Remote-eligible roles (as indicated in the location header of each job description) are available in all U.S. states except Alaska and Hawaii. Remote roles are currently only available within the U.S. unless otherwise specified in the specific job description.

Reverb offers compensation packages that include base, bonus, and equity in the form of Etsy-restricted stock units. Some of our key benefits include but are not limited to the following:

• 100% paid premiums for medical, dental, and vision coverage for the employee, spouse or domestic partner, and all eligible dependents. Medical coverage includes gender-affirming care.
• Life, AD&D, and supplemental long-and short-term disability insurance
• A matching 401(k)
• A generous PTO policy that includes vacation, sick/mental health days plus 11 paid holidays and two floating holidays
• Professional development and continued learning opportunities through access to mentoring, 1:1 coaching, and platforms like Skillsoft, LinkedIn Learning and Codecademy
• 18 weeks of gender-neutral parental leave for the birth or adoption of a child
• Up to $25,000 reimbursement of adoption and/or surrogacy-related expenses
• Paid sabbatical program
• $1,000 annual work/life stipend
• Access to free supplemental online mental health services and meditation apps Ways to give back to your community through a charitable contribution match and volunteer time off

At Reverb, we believe that a diverse, equitable and inclusive workplace makes us a more relevant and resilient company. We welcome people from all backgrounds, ethnicities, cultures, and experiences. Reverb is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

We know that the impostor syndrome and confidence gap are real. Please do not hesitate to apply!

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